Eric Tu

1.5k citations
23 papers · 1.1k · h-index 13

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Atherosclerosis and Cardiovascular Diseases
    • Immune cells in cancer
    • IL-33, ST2, and ILC Pathways

Papers in

    • Immune Cell Function and Interaction 7
    • IL-33, ST2, and ILC Pathways 4
    • T-cell and B-cell Immunology 3
    • CAR-T cell therapy research 5
    • Cancer Immunotherapy and Biomarkers 4

Eric Tu

22 papers receiving 1.1k citations

Peers

Eric Tu
Comparison fields: 5 of 89
  • Immunology 510
  • Periodontics 38
  • Oncology 223
  • Physiology 39
  • Biological Psychiatry 15
Replace F.A. van de Loo with:
F.A. van de Loo Netherlands
Mélissa Noack France
Μαριάννα Ιωάννου Greece
Young‐Mee Moon South Korea
Diana S. Piccoli Australia
Shuhei Hosomi Japan
Heidi Wähämaa Sweden
Wael N. Jarjour United States
Paula B. Donate Brazil
Rocky Barilla United States
Eric Tu relative to F.A. van de Loo Netherlands F.A. van de Loo's profile →
Citations per field
00.5×3.9×
F.A. van de Loo · 1×
Citations per year

Countries citing papers authored by Eric Tu

Since Specialization
Citations

This map shows the geographic impact of Eric Tu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eric Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Tu more than expected).

Fields of papers citing papers by Eric Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Tu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eric Tu. The network helps show where Eric Tu may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric Tu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric Tu Line = papers co-authored together Eric Tu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015318
2 2019214
3 2014122
4 202284
5 201571
6 201865
7 201451
8 201945
9 201535
10 201334
11 202430
12 201224
13 202414
14 201312
15 20136
16 20115
17 20231
18 20221
19 20241
20 20221

About Eric Tu

Eric Tu is a scholar working on Immunology, Oncology, Surgery, Molecular Biology and Cancer Research, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), IL-33, ST2, and ILC Pathways (4 papers), NF-κB Signaling Pathways (4 papers), T-cell and B-cell Immunology (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Eosinophilic Esophagitis (2 papers). The work is most often cited by research in Immunology (510 citations), Periodontics (38 citations), Oncology (223 citations), Physiology (39 citations) and Biological Psychiatry (15 citations). Eric Tu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Wanjun Chen, Dunfang Zhang, Ruiqing Wu, Wanjun Chen, Jianmin Yang, Qi Gao, Mei Dong, Xiao Meng, Yun Zhang and Kai Zhang. Their work appears in journals such as Cancer Research, European Journal of Immunology, Immunity, Journal for ImmunoTherapy of Cancer and Blood.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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